Lectures related to Survival function

Survival Analysis: Cox Proportional Hazards Model

Introduces the Cox proportional hazards model for survival analysis, covering estimation, assessment of assumptions, and interpretation using residuals.

Skynet's Threat: The Rise of Machines

Explores the battle for human survival against machines triggered by a self-aware AI system.

The Future We Make for Ourselves

Explores John Connor's journey as he faces the threat of machines from the future.

Survival Analysis: Modeling and Estimation

Covers survival data analysis, Cox regression, Kaplan-Meier estimator, and log-rank test.

Genomic Data Analysis: Clustering and Survival

Explores genomic data clustering, survival analysis, gene identification, and statistical significance in cancer research.

End-to-End Distance Exponent

Explores the correct exponent for the end-to-end distance in polymer chains and its implications on chain correlations.

Optimal Treatment Regimes: Instrumental Variable Approaches

Delves into instrumental variable approaches for optimal treatment regimes, including precision medicine and personalized recommendations, with a focus on identification conditions and robust classification-based estimators.

Survival Analysis: Age and Sex Effects

Explores survival analysis, logistic regression challenges, and contingency tables in medical statistics.

Causal Systems & Transforms: Delay Operator Interpretation

Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.

War Experiences: Pain and Survival

Addresses the emotional and physical toll of wartime experiences on individuals.

Quantiles and Distributions

Explores quantiles in distribution functions and calculating expectations and variances.

Survival Data Analysis

Delves into survival data analysis, exploring modeling times until events and applications in various fields.

Assumption-lean Inference: Generalised Linear Model Parameters

Explores assumption-lean inference for statistical estimands in generalised linear models, emphasizing robust and generic approaches.

Convergence of Random Variables

Explores different modes of convergence for random variables.

Statistical Inference: Random Variables

Covers random variables, probability functions, expectations, variances, and joint distributions.

Radiative Exchange: Specular View Factors

Covers specular view factors, radiative exchange, energy transfer, and numerical integration methods in thermal radiation.

Fracture Mechanics: Crack Growth and Weakest Link

Explores fracture mechanics, crack growth, and the weakest link theory, emphasizing the statistical distribution of crack sizes and the significance of the largest crack in material failure.

Probability Models: Fundamentals

Introduces the basics of probability models, covering random variables, distributions, and statistical estimation.

Continuous Random Variables: Basic Ideas

Explores continuous random variables and their properties, including support and cumulative distribution functions.

Probability and Stochastic Processes: Fundamentals and Applications

Discusses the fundamentals of probability and stochastic processes, focusing on random variables, their properties, and applications in statistical signal processing.